Name
Abstract | ||
|---|---|---|
In the paper we present the use of graphic processor units to accelerate the most time-consuming stages of a simulation of angiogenesis and tumor growth. By the use of advanced CUDA mechanisms such as shared memory, textures and atomic operations, we managed to speed up the CUDA kernels by a factor of 57x. However, in our simulation we used the CPU as a co-processor and data from CPU was copied back and forth in each phase. It decreased the speedup of rewritten stages by 40%. We showed that the performance of the entire simulation can be improved by a factor of 10 up to 20. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.7494/csci.2012.13.1.35 | COMPUTER SCIENCE-AGH |
Keywords | Field | DocType |
gpu, angiogenesis, tumor | Shared memory,Computer science,CUDA,Parallel computing,Atomic operations,Computational science,Speedup | Journal |
Volume | Issue | ISSN |
13 | 1 | 1508-2806 |
Citations | PageRank | References |
2 | 0.49 | 1 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Marcin Worecki | 1 | 2 | 0.49 |
| Rafal Wcisło | 2 | 29 | 7.63 |